primary_metric_goal: Define supported metric goals for hyperparameter tuning
In azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'
Description
Usage
Arguments
Value
Description
A metric goal is used to determine whether a higher value for a metric
is better or worse. Metric goals are used when comparing runs based on
the primary metric. For example, you may want to maximize accuracy or
minimize error.
The primary metric name and goal are specified to hyperdrive_config()
when you configure a HyperDrive run.
Usage
1
primary_metric_goal(goal)
Arguments
goal
A string of the metric goal (either "MAXIMIZE" or "MINIMIZE").
Value
The PrimaryMetricGoal object.
azuremlsdk documentation built on Oct. 23, 2020, 8:22 p.m.
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Description Usage Arguments Value
Description
A metric goal is used to determine whether a higher value for a metric is better or worse. Metric goals are used when comparing runs based on the primary metric. For example, you may want to maximize accuracy or minimize error.
The primary metric name and goal are specified to hyperdrive_config()
when you configure a HyperDrive run.
Usage
1 | primary_metric_goal(goal)
|
Arguments
goal |
A string of the metric goal (either "MAXIMIZE" or "MINIMIZE"). |
Value
The PrimaryMetricGoal object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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